Research and application of adaptive anti-interference based VU-fuzzy-PID algorithm in temperature control system of platic extruder

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The paper studied the design and evaluation of an adaptive anti-interference temperature control system for a plastic extruder, using a control model that combined PID and fuzzy PID strategies and the extruder’s structural/functional characteristics. It proposed a variable universe (VU) fuzzy PID approach in which proportional factors dynamically compress or expand the fuzzy domain as error decreases or increases, enabling equivalent dynamic adjustment of PID parameters while keeping fuzzy rules unchanged. MATLAB simulation and comparison reportedly showed reduced rise time, no overshoot, and stronger anti-interference relative to standard PID and fuzzy PID, with experimental verification indicating improved performance for nonlinear time-varying extruders and good adaptability/stability. The authors presented this work as a preprint and did not claim journal peer review. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Plastic profiles, as the basic material for social and economic development, are mainly processed and moulded by plastic extruders. In the production process of plastic profiles, the temperature precision control of plastic extruder directly affects the plasticising and mixing effect of raw mate-rials. Therefore, the development of high-precision, fast response and stable plastic extruder tem-perature control system plays a key role in the development of plastic profile industry. In order to solve the shortcomings of the plastic extruder such as low temperature precision, slow response speed and poor anti-interference ability, the author has established a plastic extruder temperature control system model based on the study of PID control strategies and fuzzy PID control strategies, combined with the structural and functional characteristics of plastic extruder. Adopting a variable universe fuzzy PID control strategy to improve the performance of the plastic extruder temperature control system. The core idea of this strategy is to introduce proportional factors to change the range of the fuzzy domain. Under the condition that the fuzzy rules remain unchanged, the fuzzy domain compresses as the error decreases and expands as the error increases. Changing the domain is equivalent to adding fuzzy control rules within the same domain, thereby completing the dynamic adjustment of PID controller parameters. Through MATLAB simulation analysis and comparison, it was found that this control strategy has the advantages of short rise time, no overshoot, and strong anti-interference compared to PID control and fuzzy PID control strategies. Finally, through ex-perimental verification, it was found that this control strategy significantly changes the temperature control effect of nonlinear time-varying extruders, and has good adaptability and stability.
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Research and application of adaptive anti-interference based VU-fuzzy-PID algorithm in temperature control system of platic extruder | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Research and application of adaptive anti-interference based VU-fuzzy-PID algorithm in temperature control system of platic extruder Jin-Tao Meng, Wen Sun, Mi-Xue Ruan, Chan Wang, Huai-xia Liu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3831086/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Plastic profiles, as the basic material for social and economic development, are mainly processed and moulded by plastic extruders. In the production process of plastic profiles, the temperature precision control of plastic extruder directly affects the plasticising and mixing effect of raw mate-rials. Therefore, the development of high-precision, fast response and stable plastic extruder tem-perature control system plays a key role in the development of plastic profile industry. In order to solve the shortcomings of the plastic extruder such as low temperature precision, slow response speed and poor anti-interference ability, the author has established a plastic extruder temperature control system model based on the study of PID control strategies and fuzzy PID control strategies, combined with the structural and functional characteristics of plastic extruder. Adopting a variable universe fuzzy PID control strategy to improve the performance of the plastic extruder temperature control system. The core idea of this strategy is to introduce proportional factors to change the range of the fuzzy domain. Under the condition that the fuzzy rules remain unchanged, the fuzzy domain compresses as the error decreases and expands as the error increases. Changing the domain is equivalent to adding fuzzy control rules within the same domain, thereby completing the dynamic adjustment of PID controller parameters. Through MATLAB simulation analysis and comparison, it was found that this control strategy has the advantages of short rise time, no overshoot, and strong anti-interference compared to PID control and fuzzy PID control strategies. Finally, through ex-perimental verification, it was found that this control strategy significantly changes the temperature control effect of nonlinear time-varying extruders, and has good adaptability and stability. Physical sciences/Chemistry Physical sciences/Energy science and technology Physical sciences/Engineering Physical sciences/Materials science Physical sciences/Mathematics and computing Variable universe Plastic extruder Temperature accuracy Fuzzy PID Stability control Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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